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Related Concept Videos

Bar Graph01:07

Bar Graph

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A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
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Multiple Bar Graph01:07

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As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
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An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
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The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
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A pie chart (or a pie graph) is a circular graphical chart or a pictorial representation of categorical data. It is divided into slices of pie each indicating numerical proportions. It is also used to show the relative sizes of data in a single chart.
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Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
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Updated: Dec 13, 2025

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Hive Panel Explorer: an interactive network visualization tool.

Sarah E I Perez1, Aria S Hahn2, Martin Krzywinski3

  • 1Graduate Program in Bioinformatics, University of British Columbia, Genome Sciences Centre, Vancouver, BC V5Z 4S6, Canada.

Bioinformatics (Oxford, England)
|July 28, 2020
PubMed
Summary
This summary is machine-generated.

HyPE (Hive Panel Explorer) is a new software application for visualizing complex biological networks. It allows users to explore multiple network views simultaneously, aiding in hypothesis generation for systems biology and ecology.

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Area of Science:

  • Computational Biology
  • Ecology
  • Systems Biology

Background:

  • Network analysis is crucial for understanding system dynamics and function in fields like ecology and systems biology.
  • Data-driven visualization complements network analysis, guiding hypothesis development and testing.
  • Hive plots offer a consistent, rule-based representation for network visualization.

Purpose of the Study:

  • To introduce HyPE (Hive Panel Explorer), a novel software application for creating interactive panels of hive plots.
  • To enable user-driven exploration of networks through customizable layout rules and parameter combinations.
  • To facilitate the simultaneous visualization and analysis of multiple network views.

Main Methods:

  • Development of HyPE software application.
  • Implementation of interactive hive plot generation.
  • User-controlled network exploration with adjustable layout rules and parameters.

Main Results:

  • HyPE enables the creation of interactive panels of hive plots for enhanced network visualization.
  • The software facilitates simultaneous exploration of multiple network views.
  • Demonstrated HyPE's utility by analyzing a microbial co-occurrence network from forest soil microbiomes.

Conclusions:

  • HyPE provides a powerful tool for network exploration and hypothesis generation in biological research.
  • Interactive and multi-view capabilities enhance the understanding of complex network structures and dynamics.
  • The software is available under the GNU license, promoting accessibility for researchers.